Business uses various technologies to operate more efficiently, respond quickly to changing market demands, and stay competitive. It’s well-known how technology can automate routine tasks, streamline processes, and provide quality services. That’s why technology management is so crucial in today’s fast-paced technological landscape. The ever-evolving nature of technology can present both opportunities and challenges for businesses. Innovate Forum 2025 is an interdisciplinary conference integrates the areas of Management and Technology together. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. It will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Management & Technology.

Topics and technical areas of interest include but are not limited to the following:

Track Topics:

Track#1: AI in Healthcare and Biomedical Innovation

• AI for Early Disease Detection
• Personalized Medicine and Genomics
• AI in Drug Discovery and Clinical Trials
• Healthcare Robotics and Automation

Track#2:  Autonomous Systems and Robotics

• Robotic Process Automation (RPA) in Industries
• Autonomous Vehicles and Drones
• Collaborative Robots (Cobots) in Manufacturing
• AI in Precision Engineering and Robotics

Track#3: Generative AI and Creative Intelligence

• AI in Art and Content Creation
• AI in Gaming and Virtual Worlds
• Deep Learning and Neural Networks in Creativity
• AI and the Future of Media

Track#4: AI for Smart Cities and Sustainable Development

• Smart Urban Infrastructure and IoT
• Energy Efficiency and AI in Smart Grids
• AI for Sustainable Agriculture and Food Security
• AI for Environmental Protection

Track#5: AI Ethics, Policy, and Governance

• AI Fairness and Bias Mitigation
• Regulations and AI Governance
• Transparency and Accountability in AI Systems
• AI in the Workforce: Ethical Considerations

Track#6: Science and Its Applications

•  Quantum Computing and AI
• AI in Space Exploration and Astronomy
• Bioinformatics and Computational Biology
• AI in Material Science and Engineering
• Quantum Machine Learning and Hybrid AI-Quantum Models
• AI in Quantum Cryptography and Secure Computing
• AI for Quantum Hardware Design and Simulation
• Quantum-Inspired AI Algorithms and Computing Models
• Quantum AI for Drug Discovery and Molecular Modeling
• AI for Climate Science and Environmental Modeling
• AI in Neuroscience and Brain-Computer Interfaces
• Bioinformatics and Computational Biology

Track#7: Management and AI-Driven Decision-Making

• AI for Business Strategy and Operations
• AI in Human Resource Management
• AI in Marketing and Consumer Analytics
• Risk Management and AI in Financial Systems

Track#8: Corporate Management and AI

• AI in Strategic Planning and Decision-Making
• AI for Supply Chain and Logistics Optimization
• AI-Driven Customer Relationship Management (CRM)
• AI for Corporate Sustainability and ESG Compliance

Track#9: Public and Institutional Management

• AI in Public Administration and Governance
• Smart Cities and AI-Powered Infrastructure
• Education and AI-Powered Learning Systems
• AI in National Security and Law Enforcement

Track#10: Big Data Analytics and AI

• Predictive Analytics and AI-Based Forecasting
• Real-Time Data Processing and AI Applications
• AI for Business Intelligence and Decision Support
• Scalable AI Architectures for Big Data

Track#11: AI in Social Sciences and Human Behavior

• AI for Social Research and Behavioral Analysis
• AI in Political Science and Policy Analysis
• AI for Social Media Monitoring and Trend Prediction
• AI in Psychological and Cognitive Studies

Track#12: AI for Solar Energy and Sustainability

• AI for Renewable Energy Optimization
• AI-Driven Climate Change Monitoring and Environmental Protection
• Smart Grid and Energy Efficiency Solutions using AI
• AI for Sustainable Agriculture and Resource Management